Jun Liu

Full Professor, Xi'an Jiaotong University

4 papers at NeurIPS 2025

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Poster Session 3

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

CoFFT: Chain of Foresight-Focus Thought for Visual Language Models

#4708 · Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou

Poster Session 4

1 paper

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding

#5318 · Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu

ChartSketcher improves multimodal chart understanding by enabling models to sketch intermediate reasoning steps directly onto charts using a programmatic library and iterative visual feedback, enhancing reasoning and reflection.

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration

#1608 · Wenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu

Poster Session 6

1 paper

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

#3616 · Jie Ma, Ning Qu, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, su zhou

We propose a trustworthy reasoning framework for LLMs to reason over knowledge graphs.